Y-h. TAGUCHI

J-GLOBAL         Last updated: Nov 12, 2019 at 14:47
 
Avatar
Name
Y-h. TAGUCHI
E-mail
taggranular.com
URL
http://researchers.chuo-u.ac.jp/Profiles/7/0000674/profile.html?lang=en
Affiliation
Chuo University
Section
Faculty of Science and Engineering
Job title
Professor
Degree
Dr. Sci.(Tokyo Institute of Technology)
Research funding number
30206932
Twitter ID
Yh_Taguchi
ORCID ID
0000-0003-0867-8986

Profile

I am studying bioinformatics, especially focusing on gene expression analysis as well as multi omics data ayalysis. Currently, my primary interest is applying tensor decomposition for selecting variables in the unsupervised manner.
I have published a monograph on my research from Springer at Sep. 2019.
Unsupervised Feature Extraction Applied to Bioinformatics
http://bit.ly/31uMVTK

Research Areas

 
 

Academic & Professional Experience

 
Mar 2009
 - 
Mar 2010
. European Bioinformatics Institute Visiting Professor
 
Apr 2006
   
 
- Professor, Department of Physics, Chuo University
 
Apr 1997
 - 
Mar 2006
Associate Professor, Department of Physics, Chuo University
 
Oct 1989
 - 
Sep 1990
Postdoctoral Fellow, Forschungszentrum Juelich GmbH
 
Apr 1988
 - 
Mar 1997
Assistant Professor, Department of Physics, Tokyo Institute of Technology
 

Education

 
 
 - 
1988
Department of Physics, Graduate School, Division of Science and Engineering, Tokyo Institute of Technology
 

Committee Memberships

 
Jun 2019
 - 
Today
Non-coding RNA  Academic Editor
 
Apr 2019
 - 
Today
BMC Medical Genomics  Associate Editor
 
Apr 2017
 - 
Today
BMC Research Notes  Academic Editor
 
Apr 2017
 - 
Today
PLoS ONE  Academic Editor
 
Mar 2017
 - 
Today
Medicine  Academic Editor
 

Awards & Honors

 
Sep 2019
Publons Peer Review Award 2019 (Top 1% reviewer in cross field)
 
Sep 2019
Publons Peer Review Award 2018 (Top 1% reviewer in Biology and Biochemistory)
 
Sep 2018
Publons Peer Review Award 2018 (Top 1% reviewer in cross field)
 
2018
InCob2018 Oral presentation award (Consolation)
 
2017
Best Paper Awards (Silver) of BMC Track of InCoB 2017
 
2014
Best Paper Awards (InCoB2014)
 
2013
JSBi 2013 Excellent Poster Award
 

Published Papers

 
Y-h. TAGUCHI
APPLICATION OF OMICS, AI AND BLOCKCHAIN IN BIOINFORMATICS RESEARCH   159-188   Nov 2019
Bharata Kalbuaji, Y-H. Taguchi, Akihiko Konagaya
Chem-Bio Informatics Journal   19(0) 32   Sep 2019   [Refereed]
Y-h. Taguchi, Turki Turki
Frontiers in Genetics   10 864-864   Sep 2019   [Refereed]
Turki Turki, Y-h. TAGUCHI
Expert Systems with Applications   127(1) 167-186   Aug 2019   [Refereed]
Y-h. TAGUCHI
Intelligent Computing Theories and Application   565-574   Jul 2019   [Refereed]
Y-h. TAGUCHI, Hsiuying Wang
Cells   7(12) 245   Dec 2018   [Refereed]
Y-h Taguchi, Ka-Lok Ng
2018 IEEE 17th International Conference on Bioinformatics and Bioengineeing   195-200   Nov 2018   [Refereed]
Y-h. Taguchi
Intelligent Computing Theories and Application   816-826   Aug 2018   [Refereed]
Y-h. TAGUCHI
Encyclopedia of Bioinformatics and Computational Biology   3 806-813   Aug 2018   [Refereed]

Misc

 
Y-h. Taguchi, Hsiuying Wang
Atlas of Science      Jun 2019   [Invited]
Y-h. Taguchi
IEICE Technical Report   IBISML2018(90) 345-352   Oct 2018
Principal Component Analysis based unsupervised Feature Extraction applied to Bioinformatics
Y-h. Taguchi
IEICE Technical Report   17-24   Nov 2016
Heuristic principal component analysis-based unsupervised feature extraction applied to gene expression analysis of amyotrophic lateral sclerosis data sets
Y-H. Taguchi,Mitsuo Iwadate,Hideaki Umeyama
IPSJ SIG Technical Report   1-6   Sep 2015
Hideaki Umeyama, Mitsuo Iwadate, YH Taguchi
IPSJ Transactions on Bioinformatics   14-22   Aug 2015
Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease
Y-h. Taguchi, Mitsuo Iwadate,Hideaki Umeyama
IEICE Technical Report   1-8   Jun 2015
In silico spleen tyrosine kinase inhibitor screening by chooseLD
Hideaki Umeyama, Mitsuo Iwadate, Y-h. Taguchi
IPSJ SIG technical reports   1-6   Mar 2015
Heuristic principal component analysis based unsupervised feature extraction and its application to bioinformatics
YH Taguchi
IEICE Technical Report   87-94   Nov 2014
Apparent microRNA-target-specific histone modification in mammalian spermatogenesis
YH Taguchi
IPSJ SIG technical reports   1-2   Sep 2014
Subtype specific promoter methylation in glioblastoma
Kiyohiko Sakamoto, YH Taguchi
IPSJ SIG technical reports   1-2   Jun 2014

Books etc

 
Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach
Y-h. TAGUCHI
Springer International Publishing   Aug 2019   ISBN:9783-030224554
This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own a...
Regulatory microRNA
Y-h. Taguchi, Hsiuying Wang (Part:Editor)
MDPI   Apr 2019   ISBN:978-3-03897-768-1
Encyclopedia of Bioinformatics and Computational Biology
Elsevier   Aug 2018   
Computational Methods with Applications in Bioinformatics Analysis
Jeffrey J. P. Tsai , Ka-log Ng (Part:Contributor)
World Scientific   Jun 2017   ISBN:978-9813207974
New Phases in Optimal velocity Model
Elsevier Science A Proceedings Volume From The 10th IFAC Symposium, Tokyo, Japan, 4-6 August 2003 (IFAC Proceedings S.)   Jun 2004   

Conference Activities & Talks

 
Y-h. TAGUCHI
Technical Committee on Social Implications of Technology and Information Ethics (SITE)   6 Dec 2019   
Y-h. TAGUCHI
PreMed'19   31 Oct 2019   
Application of tensor decomposition based unsupervised feature extraction to multi- omics data set [Invited]
Y-h. TAGUCHI
BioInfOMICS2019   26 Oct 2019   
Y-h. TAGUCHI
1st PharmaLab JAPAN   4 Jul 2019   REED
Tensor decomposition based unsupervised feature extraction was applied to bioinformatics. We can perform multiomics data analysis, biomarker identification, AI-oriented drug discovery from gene expression, inference of disease causing genes
Y-h. TAGUCHI
Cosme Tech 2019   30 Jan 2019   
Y-h. TAGUCHI
The 41th annual meeting of the molecular biology society of Japan   29 Nov 2018   
Y-h. TAGUCHI
Graduate Institute of Biomedical Engineering, National Chung Hsing University, Taiwan   31 Oct 2018   National Chung Hsing University
Genomic data set is often so called "large p small n" problem where a few tens thousand gene expression is measured for only a few tens samples. Tensor decomposition based approach was proposed to tackle this problem and was applied to wide range ...
Y-h. Taguchi
International Conference on Computational Biology and Bioinformatics   6 Sep 2018   
Y-h. Taguchi
International Conference on Biological Information and Biomedical Engineering (BIBE 2018)   6 Jul 2018   
Akila Ranjith M. Michael Gromiha Y-h. Taguchi
Galaxy Community Conference and Bioinformatics Open Source Conference (GCCBOSC) 2018   Jun 2018   

Works

 
Application of tensor decomposition based unsupervised feature extraction to bioinformatics
Apr 2017
Guest Editor of Special Issue "MicroRNA Regulation" in International Journal of Molecular Science
Apr 2015
International Whos Who in Professional Management (2000)
Jan 2000

Research Grants & Projects

 
JSPS: Grant-in-Aid for Scientific Research
Project Year: Jul 2019 - Mar 2021    Investigator(s): Y-h. TAGUCHI
Japan Society for the Promotion of Science: Grant-in-Aid for Scientific Research
Project Year: Apr 2017 - Mar 2020    Investigator(s): Y-h. Taguchi
Japan Society for the Promotion of Science: Grant-in-Aid for Scientific Research
Project Year: Apr 2012 - Mar 2015    Investigator(s): Y-h. Taguchi, Jun Yasuda
Drug Discovery based on protein function prediction by FAMS
Project Year: 2013 - 2015